Fetching the paper…
Reading the bibliography…
In this paper, we explore the potential of generative machine learning models as an alternative to the computationally expensive Monte Carlo (MC) simulations commonly used by the Large Hadron Collider (LHC) experiments.
1901
Earlier work this paper cites.
1903
Earlier work this paper cites.
A. Butter, T. Plehn and R. Winterhalder, How to GAN LHC Events , SciPost Phys. 7
1907
Earlier work this paper cites.
J. Pumplin, D.R. Stump, J. Huston, H.L. Lai, P.M. Nadolsky and W.K. Tung, New generation of parton distributions with uncertainties from global QCD analysis , JHEP 07
2002
Earlier work this paper cites.
2007
Earlier work this paper cites.
A. Butter and T. Plehn, Generative Networks for LHC events , 2008.08558
2008
Earlier work this paper cites.
C. Villani, Optimal transport: old and new , vol. 338, Springer Science & Business Media (2008)
2008
Earlier work this paper cites.
V. Nair and G.E. Hinton, Rectified linear units improve restricted boltzmann machines , ICML 27
2010
Earlier work this paper cites.
2011
Cited alongside, same era.
2014
Cited alongside, same era.
D. Rezende and S. Mohamed, Variational inference with normalizing flows , in Proceedings of the 32nd International Conference on Machine Learning , F. Bach and D. Blei, eds., vol. 37 of Proceedings of Machine Learning Research , (Lille, France), pp. 1530–1538, PMLR, 07–09 Jul, 2015, https://proceedings.mlr.press/v37/rezende15.html
2015
Cited alongside, same era.
2015
M. Bellagente, A. Butter, G. Kasieczka, T. Plehn, A. Rousselot, R. Winterhalder et al., Invertible networks or partons to detector and back again , SciPost Phys. 9
2020
Later among the works it cites.
A. Collaboration, Atlfast3: The next generation of fast simulation in atlas , Journal of Physics: Conference Series 1792
2021
Later among the works it cites.
E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol et al., Getting high: High fidelity simulation of high granularity calorimeters with high speed , Computing and Software for Big Science 5
2021
Later among the works it cites.
2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
2015
Cited alongside, same era.
B. Uria, M.-A. Côté, K. Gregor, I. Murray and H. Larochelle, Neural autoregressive distribution estimation , Journal of Machine Learning Research 17
2016
Cited alongside, same era.
2018
Cited alongside, same era.
2019
Cited alongside, same era.
C. Krause, I. Pang and D. Shih, CaloFlow for CaloChallenge Dataset 1 , 2210.14245
Cited in the paper.
Cited in the paper.
Cited in the paper.
Cited in the paper.
2021
Later among the works it cites.
2022
Later among the works it cites.
2022
Later among the works it cites.